Maximum likelihood signal estimation using polarized arrays

Anthony J. Weiss; Benjamin Friedlander

doi:10.1109/ACSSC.1992.269290

Maximum likelihood signal estimation using polarized arrays

Anthony J. Weiss, Benjamin Friedlander

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We consider the problem of separating and estimating the waveforms of superimposed signals received by a polarization sensitive array. Signal estimation is accomplished by a two-step maximum likelihood procedure: (i) The direction of arrivals and polarization parameters of all the signals are estimated. (ii) The estimated signal is obtained as a linear combination of the array outputs, with weights which are computed from the estimated direction and polarization parameters. Expressions are derived for the output Signal to Interference Ratio (SIR) and output Signal to Noise Ratio (SNR). Numerical examples illustrate the performance improvement that can be achieved using polarized arrays.

Original language	English
Title of host publication	Conference Record of the 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992
Publisher	IEEE Computer Society
Pages	219-223
Number of pages	5
ISBN (Electronic)	0818631600
DOIs	https://doi.org/10.1109/ACSSC.1992.269290
State	Published - 1992
Event	26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992 - Pacific Grove, United States Duration: 26 Oct 1992 → 28 Oct 1992

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Conference

Conference	26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992
Country/Territory	United States
City	Pacific Grove
Period	26/10/92 → 28/10/92

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10.1109/ACSSC.1992.269290

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Weiss, A. J., & Friedlander, B. (1992). Maximum likelihood signal estimation using polarized arrays. In Conference Record of the 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992 (pp. 219-223). Article 269290 (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.1992.269290

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title = "Maximum likelihood signal estimation using polarized arrays",

abstract = "We consider the problem of separating and estimating the waveforms of superimposed signals received by a polarization sensitive array. Signal estimation is accomplished by a two-step maximum likelihood procedure: (i) The direction of arrivals and polarization parameters of all the signals are estimated. (ii) The estimated signal is obtained as a linear combination of the array outputs, with weights which are computed from the estimated direction and polarization parameters. Expressions are derived for the output Signal to Interference Ratio (SIR) and output Signal to Noise Ratio (SNR). Numerical examples illustrate the performance improvement that can be achieved using polarized arrays.",

author = "Weiss, {Anthony J.} and Benjamin Friedlander",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992 ; Conference date: 26-10-1992 Through 28-10-1992",

year = "1992",

doi = "10.1109/ACSSC.1992.269290",

language = "אנגלית",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

publisher = "IEEE Computer Society",

pages = "219--223",

booktitle = "Conference Record of the 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992",

address = "ארצות הברית",

}

Weiss, AJ & Friedlander, B 1992, Maximum likelihood signal estimation using polarized arrays. in Conference Record of the 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992., 269290, Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, pp. 219-223, 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992, Pacific Grove, United States, 26/10/92. https://doi.org/10.1109/ACSSC.1992.269290

Maximum likelihood signal estimation using polarized arrays. / Weiss, Anthony J.; Friedlander, Benjamin.
Conference Record of the 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992. IEEE Computer Society, 1992. p. 219-223 269290 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - We consider the problem of separating and estimating the waveforms of superimposed signals received by a polarization sensitive array. Signal estimation is accomplished by a two-step maximum likelihood procedure: (i) The direction of arrivals and polarization parameters of all the signals are estimated. (ii) The estimated signal is obtained as a linear combination of the array outputs, with weights which are computed from the estimated direction and polarization parameters. Expressions are derived for the output Signal to Interference Ratio (SIR) and output Signal to Noise Ratio (SNR). Numerical examples illustrate the performance improvement that can be achieved using polarized arrays.

AB - We consider the problem of separating and estimating the waveforms of superimposed signals received by a polarization sensitive array. Signal estimation is accomplished by a two-step maximum likelihood procedure: (i) The direction of arrivals and polarization parameters of all the signals are estimated. (ii) The estimated signal is obtained as a linear combination of the array outputs, with weights which are computed from the estimated direction and polarization parameters. Expressions are derived for the output Signal to Interference Ratio (SIR) and output Signal to Noise Ratio (SNR). Numerical examples illustrate the performance improvement that can be achieved using polarized arrays.

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PB - IEEE Computer Society

T2 - 26th Asilomar Conference on Signals, Systems and Computers, ACSSC 1992

Y2 - 26 October 1992 through 28 October 1992

ER -

Maximum likelihood signal estimation using polarized arrays

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